Introduction to Statistics and Data Analysis
5th Edition
ISBN: 9781305750999
Author: Peck Olson Devore
Publisher: CENGAGE C
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Chapter 4, Problem 69CR
To determine
Construct a boxplot for each type of hotel and comment on the interesting features, similarities, and differences.
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The table to the right represents the annual percentage
of smartphones sold in a certain region in 2011, 2012,
and 2013 (projected).
a. What conclusions can you reach about the market for
smartphones in 2011, 2012, and 2013?
b. What differences are there in the market for
smartphones in 2011, 2012, and 2013?
Type
Type 1
Type 2
Type 3
Type 4
Type 5
Type 6
2011
2012
52% 65%
18%
16%
1%
6%
13%
7%
13%
3%
4%
2%
a. Select all that apply.
A. Type 3 had the second largest percentage of smartphones sold in all three years.
B. Type 2 had the second largest percentage of smartphones sold in all three years.
C. Type 6 had the smallest or close to the smallest percentage of smartphones sold in all three years.
D. Type 1 had the largest percentage of smartphones sold in all three years.
E. Type 5 had the smallest or close to the smallest percentage of smartphones sold in all three years.
2013
54%
20%
18%
4%
2%
2%
A survey about social media reported that 82% of B2B marketers (marketers that focus primarily on
attracting businesses) plan to increase their use of social media, as compared to 55% of B2C marketers
(marketers that primarily target consumers). The survey was based on 1,286 B2B marketers and 1,731
B2C marketers. The accompanying table summarizes the results. Complete parts (a) through (d) below.
A. What is the probability that a randomly selected respondent is a B2C marketer?
B. What is the probability that a randomly selected respondent plans to increase use of social media
or is a B2C marketer?
C. Explain the difference in the results in (a) and (b)
Chad Dobson is considering real estate investment near a community college. The accompanying data file includes monthly rents (in $) for 27 houses, along with three characteristics of the home: number of bedrooms (Beds), number of bathrooms (Baths), and square footage (Sqft).
Rent
Beds
Baths
Sqft
2950
4
4
1453
2400
4
2
1476
2375
3
3
1132
2375
3
3
1132
2350
4
2.5
1589
2000
3
2.5
1459
1935
3
2
1200
1825
3
2
1248
1810
2
2
898
1735
3
2.5
1060
1695
3
2
1100
1405
3
1
1030
1375
2
1
924
1365
2
1
974
1325
2
2
988
1275
2
2
880
1200
1
1
712
1180
2
1.5
890
1180
2
2
960
1115
2
1
1020
1100
2
1
903
1060
1
1
724
1007
3
2
1260
850
2
1.5
890
810
1
1
570
785
1
1
475
744
2
1
930
1. Estimate the linear model that uses Rent as the response variable.
Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.
2. Estimate the exponential model that uses log of Rent as the response variable.
Note: Negative…
Chapter 4 Solutions
Introduction to Statistics and Data Analysis
Ch. 4.1 - The Insurance Institute for Highway Safety...Ch. 4.1 - The article Caffeine Content of Drinks...Ch. 4.1 - Consumer Reports Health...Ch. 4.1 - Consumer Reports Health...Ch. 4.1 - Prob. 5ECh. 4.1 - Prob. 6ECh. 4.1 - Prob. 7ECh. 4.1 - Each student in a sample of 20 seniors at a...Ch. 4.1 - Prob. 9ECh. 4.1 - The ministry of Health and Long-Term Care in...
Ch. 4.1 - Houses in California are expensive, especially on...Ch. 4.1 - Consider the following statement: More than 65% of...Ch. 4.1 - A sample consisting of four pieces of luggage was...Ch. 4.1 - Suppose that 10 patients with meningitis received...Ch. 4.1 - A study of the lifetime (in hours) for a certain...Ch. 4.1 - An instructor has graded 19 exam papers submitted...Ch. 4.2 - The following data are costs (in cents) per ounce...Ch. 4.2 - Cost per serving (in cents) for six high-fiber...Ch. 4.2 - Combining the cost-per-serving data for high-fiber...Ch. 4.2 - Prob. 20ECh. 4.2 - The accompanying data are consistent with summary...Ch. 4.2 - The paper referenced in the previous exercise also...Ch. 4.2 - Prob. 23ECh. 4.2 - Prob. 24ECh. 4.2 - The accompanying data on number of minutes used...Ch. 4.2 - Give two sets of five numbers that have the same...Ch. 4.2 - Prob. 27ECh. 4.2 - The U.S. Department of Transportation reported the...Ch. 4.2 - The Ministry of Health and Long-Term Care in...Ch. 4.2 - In 1997, a woman sued a computer keyboard...Ch. 4.2 - The standard deviation alone does not measure...Ch. 4.3 - Based on a large national sample of working...Ch. 4.3 - Prob. 33ECh. 4.3 - Prob. 34ECh. 4.3 - Prob. 35ECh. 4.3 - Fiber content (in grams per serving) and sugar...Ch. 4.3 - Shown here are the number of auto accidents per...Ch. 4.4 - The average playing time of music albums in a...Ch. 4.4 - In a study investigating the effect of car speed...Ch. 4.4 - Prob. 40ECh. 4.4 - Mobile homes are tightly constructed for energy...Ch. 4.4 - Prob. 42ECh. 4.4 - A student took two national aptitude tests. The...Ch. 4.4 - Suppose that your younger sister is applying for...Ch. 4.4 - The report Who Borrows Most? Bachelors Degree...Ch. 4.4 - Prob. 46ECh. 4.4 - Prob. 47ECh. 4.4 - Suppose that your statistics professor returned...Ch. 4.4 - Prob. 49ECh. 4.4 - Suppose that the average reading speed of students...Ch. 4.4 - Prob. 51ECh. 4.4 - The accompanying table gives the mean and standard...Ch. 4.5 - The authors of the paper Delayed Time to...Ch. 4.5 - The paper Portable Social Groups: Willingness to...Ch. 4 - Prob. 55CRCh. 4 - Prob. 56CRCh. 4 - Prob. 57CRCh. 4 - Prob. 58CRCh. 4 - Because some homes have selling prices that are...Ch. 4 - Although bats are not known for their eyesight,...Ch. 4 - Prob. 61CRCh. 4 - Prob. 62CRCh. 4 - Prob. 63CRCh. 4 - Prob. 64CRCh. 4 - Prob. 65CRCh. 4 - Prob. 66CRCh. 4 - Prob. 67CRCh. 4 - Prob. 68CRCh. 4 - Prob. 69CRCh. 4 - Prob. 70CRCh. 4 - Prob. 71CRCh. 4 - Age at diagnosis for each of 20 patients under...Ch. 4 - Suppose that the distribution of scores on an exam...
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Similar questions
- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardA survey about social media reported that 79% of B2B marketers (marketers that focus primarily on attracting businesses) plan to increase their use of social media, as compared to 54% of B2C marketers (marketers that primarily target consumers). The survey was based on 1,333 B2B marketers and 1,669 B2C marketers. The accompanying table summarizes the results. Complete parts (a) through (d) below. A Click the icon to view the contingency table about social media use and marketers. Contingency table a. What is the probability that a randomly selected respondent plans to increase use of social media? (Round to three decimal places as needed.) Increase Use of Social Media? Business Focus B2B B2C Total b. What is the probability that a randomly selected respondent is a B2C marketer? Yes 1,049 901 1,950 (Round to three decimal places as needed.) No 284 768 1,052 Total 1,333 1,669 3,002 c. What is the probability that a randomly selected respondent plans to increase use of social media or is…arrow_forward1 2 3 4 5 6 7 8 9 _0 1 2 3 _4 5 6 _7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 52 53 4 35 36 37 38 39 10 11 12 13 14 15 16 47 18 19 50 51 52 53 54 A Income ($1000s) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 35 39 54 23 27 26 61 30 22 46 66 B Household Size 3 2 4 5 2 2 1 2 4 3 3 4 1 2 3 4 6 2 1 5 6 3 7 2 7 6 1 2 5 4 2 5 6 2 3 2 3 4 2 1 4 3 6 2 7 2 AUANN 2 4 5 4 с Amount Charged ($) 4,016 3,159 5,100 4,742 1,864 4,070 2,731 3,348 4,764 4,110 4,208 4,219 2,477 2,514 4,214 4,965 4,412 2,448 2,995 4,171 5,678 3,623 5,301 3,020 4,828 5,573 2,583 3,866 3,586 5,037 3,605 5,345 5,370 3,890 4,705 4,157 3,579 3,890 2,972 3,121 4,183 3,730 4,127 2,921 4,603 4,273 3,067 3,074 4,820 5,149 D E F G H I J Karrow_forward
- You are analyzing salaries for your organization and you are trying to determine which variables are explaining differences in salaries. You are also wondering if there could possibly be any gender discrimination. The following data have been collected on every employee in this large department in the organization. The definitions of the variables are as follows: Salary: the employees’ bi weekly salary in dollars; Service: the number of months the employee has been employed by the organization; Age: age of the employee in years; Gender: whether the employee is male or female; Job; whether the job is technical (tech) or clerical (cler). The data appear below. Salary Service Age Gender Job 1769 93 42 male cler 1740 104 33 male cler 1941 104 42 male tech 2367 126 57 male tech 2467 98 30 male tech 1640 99 49 male tech 1756 94 35 male cler 1706 96 46 female…arrow_forwardYou are analyzing salaries for your organization and you are trying to determine which variables are explaining differences in salaries. You are also wondering if there could possibly be any gender discrimination. The following data have been collected on every employee in this large department in the organization. The definitions of the variables are as follows: Salary: the employees’ bi weekly salary in dollars; Service: the number of months the employee has been employed by the organization; Age: age of the employee in years; Gender: whether the employee is male or female; Job; whether the job is technical (tech) or clerical (cler). The data appear below. Salary Service Age Gender Job 1769 93 42 male cler 1740 104 33 male cler 1941 104 42 male tech 2367 126 57 male tech 2467 98 30 male tech 1640 99 49 male tech 1756 94 35 male cler 1706 96 46 female…arrow_forwardIdentify several types of manufacturing companies for which process costing would be an appropriate product-costing system. What characteristics do the products of these companies have that would make process costing a good choice? How is process costing similar and different in a second or later processing department?arrow_forward
- A report provided an overview of the complaints about airlines received by the Department of Transportation. The table below gives the number of complaints received by type of complaint for the years 2014 and 2015. 2014 Number of 2015 Number of Type of Complaint Complaints Received Complaints Received Flight Problems 4,204 5,406 Baggage Handling 1,728 2,050 Reservations, Ticketing, Boarding 1,276 1,807 Customer Service 1,301 1,728 Fares 699 1,300 Other 2,257 2,769 Suppose that one of these complaints is randomly selected for a follow-up interview. Use the given information to estimate the following probabilities. (Round your answers to three decimal places.) (a) the probability that a complaint made in 2014 was about baggage handling (b) the probability that a complaint made in 2015 was not about flight problems (c) the probability that two complaints made in 2015 were both about flight problems (d) the probability that a complaint made in 2014 was either about flight problems or…arrow_forwardThe table to the right represents the annual percentage of smartphones sold in a certain region in 2011, 2012, and 2013 (projected). a. What conclusions can you reach about the market for smartphones in 2011, 2012, and 2013? b. What differences are there in the market for smartphones in 2011, 2012, and 2013? a. Select all that apply. A. Type 6 had the smallest or close to the smallest percentage of smartphones sold in all three years. B. Type 3 had the second largest percentage of smartphones sold in all three years. C. Type 1 had the largest percentage of smartphones sold in all three years. D. Type 5 had the smallest or close to the smallest percentage of smartphones sold in all three years. E. Type 2 had the second largest percentage of smartphones sold in all three years. Туре Type 1 Type 2 Type 3 Type 4 Type 5 Type 6 2011 44% 21% 21% 10% 1% 3% 2012 69% 16% 4% 6% 3% 2% 2013 63% 17% 1% 3% 13% 3%arrow_forwardIn the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 463 eggs in group I boxes, of which a field count showed about 280 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 812 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p̂1 for p1, the proportion of eggs that hatch in group I nest box placements. (Round your answer to three decimal places.)p̂1 = Find a 99% confidence interval for p1. (Round your answers to three decimal places.) lower limit upper limit (b) Find a point estimate p̂2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to three decimal places.)p̂2 = Find a 99% confidence interval for p2. (Round…arrow_forward
- In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 475 eggs in group I boxes, of which a field count showed about 274 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 796 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p1 for P1, the proportion of eggs that hatch in group I nest box placements. Find a 99% confidence interval for p1. (Use 3 decimal places.) P1 lower limit upper limit (b) Find a point estimate p2 for p2, the proportion of eggs that hatch in group II nest box placements. Find a 99% confidence interval for p2. (Use 3 decimal places.) lower limit upper limit (c) Find a 99% confidence interval for p1 – P2. (Use 3 decimal places.) lower limit upper limit Does…arrow_forwardHow profitable are different sectors of the stock market? One way to answer such a question is to examine profit as a percentage of stockholder equity. A random sample of 32 retail stocks such as Toys 'R' Us, Best Buy, and Gap was studied for x1, profit as a percentage of stockholder equity. The result was x1 = 14.0. A random sample of 36 utility (gas and electric) stocks such as Boston Edison, Wisconsin Energy, and Texas Utilities was studied for x2, profit as a percentage of stockholder equity. The result was x2 = 10.3. Assume that ?1 = 4.5 and ?2 = 3.0. (a) Categorize the problem below according to parameter being estimated, proportion p, mean ?, difference of means ?1 – ?2, or difference of proportions p1 – p2. Then solve the problem. p1 – p2?1 – ?2 ?p (b) Let ?1 represent the population mean profit as a percentage of stockholder equity for retail stocks, and let ?2 represent the population mean profit as a percentage of stockholder equity for utility stocks. Find a 99%…arrow_forwarda. A research survey found that the range of restaurants' profit margins may span between 0% and 15%, and usually restaurants have an average profit margin of 3% to 5%. A restaurant's success is not wholly dependent on the food or drinks it serves, but rather its profit margin is also impacted by a host of other factors like the average cost per customer, type of restaurant operation, among other things. The profit margin data (in percentage) of 13 selected restaurants are 2.3 1.8 2.5 6.1 2.7 5.5 2.3 1.6 Construct a 98% confidence interval for the true profit margin.. 4.8 4.2 4.8 1.9 3.5arrow_forward
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